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SUMMARY:Alex Davies (Deep Mind)
DTSTART:20221212T120000Z
DTEND:20221212T130000Z
DTSTAMP:20260423T010637Z
UID:MaML/5
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MaML/5/">Mac
 hine Learning with Mathematicians</a>\nby Alex Davies (Deep Mind) as part 
 of Mathematics and Machine Learning\n\n\nAbstract\nCan machine learning be
  a useful tool for research mathematicians? There are many examples of mat
 hematicians pioneering new technologies to aid our understanding of the ma
 thematical world: using very early computers to help formulate the Birch a
 nd Swinnerton-Dyer conjecture and using computer aid to prove the four col
 our theorem are among the most notable. Up until now\, there hasn’t been
  significant use of machine learning in the field and it hasn’t been cle
 ar where it might be useful for the questions that mathematicians care abo
 ut. In this talk\, we will discuss how working together with top mathemati
 cians to use machine learning to achieve two new results – proving a new
  connection between the hyperbolic and geometric structure of knots\, and 
 conjecturing a resolution to a 50-year problem in representation theory\, 
 the combinatorial invariance conjecture. Through these examples\, we demon
 strate a way that machine learning can be used by mathematicians to help g
 uide the development of surprising and beautiful new conjectures.\n
LOCATION:https://researchseminars.org/talk/MaML/5/
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